The Effect of Body Position on IR-UWB Radar Sensor-based Hand Gesture Speed Recognition and Classification System

Daim, Terence Jerome; Lee, Razak Mohd Ali

doi:10.1109/i2cacis54679.2022.9815477

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2023

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“…While the importance of hand gesture recognition technology is increasing, the accuracy of hand gesture recognition technology is still insufficient. An effective way to solve this problem is to use Impulse Radio -Ultra Wide Bandwidth (IR-UWB RADAR) [2]. This radar provides low power and wide frequency band, and has features such as an occupied bandwidth of 25% or more of the FCC-regulated center frequency, (a bandwidth of 500 MHz or more) [3].…”

Section: Introductionmentioning

confidence: 99%

Accuracy Enhancement of Hand Gesture Recognition Using CNN

2023

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Human gestures are immensely significant in human-machine interactions. Complex hand gesture input and noise caused by the external environment must be addressed in order to improve the accuracy of hand gesture recognition algorithms. To overcome this challenge, we employ a combination of 2D-FFT and convolutional neural networks (CNN) in this research. The accuracy of human-machine interactions is improved by using UWB radar to acquire image data, then transforming it with 2D-FFT and bringing it into CNN for classification. The classification results of the proposed method revealed that it required less time to learn than prominent models and had similar accuracy.

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Section: Introductionmentioning

confidence: 99%